Maintaining an AI inventory supports responsible governance by providing comprehensive visibility and transparency into where, how, and why AI systems are deployed within an organization. This visibility reinforces accountability and control, allowing organizations to systematically identify AI risks, track compliance with regulations, and ensure ethical practices. An AI inventory forms the foundation for managing AI risk, embedding responsible AI practices, and meeting legal obligations by documenting AI models, datasets, use cases, and ownership. It helps prevent issues like regulatory non-compliance, ethical blind spots, inefficiencies, and unsafe scaling of AI systems. Ultimately, it is a critical step in effective AI governance frameworks, enabling oversight, risk management, audit readiness, and the establishment of accountability throughout the AI lifecycle.
